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docs/docs/integrations/tools/azure_dynamic_sessions.ipynb
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377
docs/docs/integrations/tools/azure_dynamic_sessions.ipynb
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@ -1,169 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Azure Container Apps dynamic sessions\n",
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"\n",
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"Azure Container Apps dynamic sessions provides a secure and scalable way to run a Python code interpreter in Hyper-V isolated sandboxes. This allows your agents to run potentially untrusted code in a secure environment. The code interpreter environment includes many popular Python packages, such as NumPy, pandas, and scikit-learn.\n",
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"\n",
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"## Pre-requisites\n",
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"\n",
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"By default, the `SessionsPythonREPLTool` tool uses `DefaultAzureCredential` to authenticate with Azure. Locally, it'll use your credentials from the Azure CLI or VS Code. Install the Azure CLI and log in with `az login` to authenticate.\n",
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"\n",
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"## Using the tool\n",
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"\n",
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"Set variables:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import dotenv\n",
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"dotenv.load_dotenv()\n",
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"\n",
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"POOL_MANAGEMENT_ENDPOINT = os.getenv(\"POOL_MANAGEMENT_ENDPOINT\")\n",
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"AZURE_OPENAI_ENDPOINT = os.getenv(\"AZURE_OPENAI_ENDPOINT\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'{\\n \"result\": 42,\\n \"stdout\": \"\",\\n \"stderr\": \"\"\\n}'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain_azure_dynamic_sessions import SessionsPythonREPLTool\n",
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"\n",
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"\n",
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"tool = SessionsPythonREPLTool(pool_management_endpoint=POOL_MANAGEMENT_ENDPOINT)\n",
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"tool.run(\"6 * 7\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Full agent example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3mI need to calculate the compound interest on the initial amount over 6 years.\n",
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"Action: Python_REPL\n",
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"Action Input: \n",
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"```python\n",
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"initial_amount = 500\n",
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"interest_rate = 0.05\n",
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"time_period = 6\n",
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"final_amount = initial_amount * (1 + interest_rate)**time_period\n",
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"final_amount\n",
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"```\u001b[0m\u001b[36;1m\u001b[1;3m{\n",
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" \"result\": 670.0478203125002,\n",
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" \"stdout\": \"\",\n",
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" \"stderr\": \"\"\n",
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"}\u001b[0m\u001b[32;1m\u001b[1;3mThe final amount after 6 years will be $670.05\n",
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"Final Answer: $670.05\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"{'input': 'If I put $500 in a bank account with a 5% interest rate, how much money will I have in the account after 6 years?',\n",
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" 'output': '$670.05'}"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os\n",
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"from azure.identity import DefaultAzureCredential\n",
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"from langchain_azure_dynamic_sessions import SessionsPythonREPLTool\n",
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"from langchain_openai import AzureChatOpenAI\n",
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"from langchain import agents, hub\n",
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"\n",
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"\n",
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"credential = DefaultAzureCredential()\n",
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"os.environ[\"OPENAI_API_TYPE\"] = \"azure_ad\"\n",
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"os.environ[\"OPENAI_API_KEY\"] = credential.get_token(\"https://cognitiveservices.azure.com/.default\").token\n",
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"os.environ[\"AZURE_OPENAI_ENDPOINT\"] = AZURE_OPENAI_ENDPOINT\n",
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"\n",
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"llm = AzureChatOpenAI(\n",
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" azure_deployment=\"gpt-35-turbo\",\n",
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" openai_api_version=\"2023-09-15-preview\",\n",
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" streaming=True,\n",
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" temperature=0,\n",
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")\n",
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"\n",
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"repl = SessionsPythonREPLTool(\n",
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" pool_management_endpoint=POOL_MANAGEMENT_ENDPOINT,\n",
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")\n",
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"\n",
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"tools = [repl]\n",
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"react_agent = agents.create_react_agent(\n",
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" llm=llm,\n",
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" tools=tools,\n",
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" prompt=hub.pull(\"hwchase17/react\"),\n",
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")\n",
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"\n",
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"react_agent_executor = agents.AgentExecutor(agent=react_agent, tools=tools, verbose=True, handle_parsing_errors=True)\n",
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"\n",
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"react_agent_executor.invoke({\"input\": \"If I put $500 in a bank account with a 5% interest rate, how much money will I have in the account after 6 years?\"})"
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]
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}
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],
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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@ -92,9 +92,11 @@ class SessionsPythonREPLTool(BaseTool):
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Example:
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.. code-block:: python
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from langchain_azure_dynamic_sessions import SessionsPythonREPLTool
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tool = SessionsPythonREPLTool(pool_management_endpoint="...")
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result = tool.run("6 * 7")
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result = tool.invoke("6 * 7")
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"""
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name: str = "Python_REPL"
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